Sentence examples for bivariate analyses examining the from inspiring English sources

For both study samples, we conducted bivariate analyses examining the reported relative activity level as a function of age decade.

Covariates included in final regression models were based on results of bivariate analyses examining the relationship with thyroid hormone levels (p < 0.20).

Bivariate analyses examined the relation between child maltreatment and social services visits and hypertension among men and women.

Descriptive bivariate analyses examined the proportions of ever-smokers and drinkers according to school-year and family affluence category and the mean material possessions and Consumer Involvement subscale scores for ever-smokers and never-smokers and for current drinkers and non-drinkers.

Table 1 summarizes bivariate analyses examining differences among lifetime users and nonusers and, among lifetime users, past 30-day cigarette smokers versus nonsmokers across both age groups.

Bivariate analyses examined which facility and provider characteristics were associated with providers' knowledge and clinical skills.

Results of a series of bivariate linear regression analyses examining the association between each independent variable and each of the eight QOL domains are presented in Table 4 (see Additional file Table 4).

Significance *p < 0.05 The bivariate logistic regression analyses examining the association among dietary and sedentary habits and maternal BMI in children with OW/OB, showed that there was a negative relationship between breakfast intake and OW/OB (OR = 0.34; 95% CI, 0.17 0.66; p = 0.02).

Bivariate (unadjusted) analyses examined the associations between the four IPV outcomes and other variables of interest using logistic regression.

Preliminary analyses examined the bivariate associations between the admission GAF ratings and other patient-level variables (i.e., gender, age, diagnosis, ADL and IADL).

The fourth set of bivariate and multivariate linear regression analyses examined the relationship between multiple aspects of the work environment and each of the dependent variables, job satisfaction and intent to stay.